MemPrep, a new technology for isolating organellar membranes provides fingerprints of lipid bilayer stress.

ER Stress Lipid Bilayer Stress MemPrep Organelle Lipidomics UPR

Journal

The EMBO journal
ISSN: 1460-2075
Titre abrégé: EMBO J
Pays: England
ID NLM: 8208664

Informations de publication

Date de publication:
15 Mar 2024
Historique:
received: 14 09 2022
accepted: 26 02 2024
revised: 16 02 2024
pubmed: 16 3 2024
medline: 16 3 2024
entrez: 16 3 2024
Statut: aheadofprint

Résumé

Biological membranes have a stunning ability to adapt their composition in response to physiological stress and metabolic challenges. Little is known how such perturbations affect individual organelles in eukaryotic cells. Pioneering work has provided insights into the subcellular distribution of lipids in the yeast Saccharomyces cerevisiae, but the composition of the endoplasmic reticulum (ER) membrane, which also crucially regulates lipid metabolism and the unfolded protein response, remains insufficiently characterized. Here, we describe a method for purifying organelle membranes from yeast, MemPrep. We demonstrate the purity of our ER membrane preparations by proteomics, and document the general utility of MemPrep by isolating vacuolar membranes. Quantitative lipidomics establishes the lipid composition of the ER and the vacuolar membrane. Our findings provide a baseline for studying membrane protein biogenesis and have important implications for understanding the role of lipids in regulating the unfolded protein response (UPR). The combined preparative and analytical MemPrep approach uncovers dynamic remodeling of ER membranes in stressed cells and establishes distinct molecular fingerprints of lipid bilayer stress.

Identifiants

pubmed: 38491296
doi: 10.1038/s44318-024-00063-y
pii: 10.1038/s44318-024-00063-y
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Volkswagen Foundation (VolkswagenStiftung)
ID : #93089,#93092,#93090
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : SFB1027
Organisme : Deutsche Forschungsgemeinschaft (DFG)
ID : SFB894
Organisme : EC | ERC | HORIZON EUROPE European Research Council (ERC)
ID : 866011

Informations de copyright

© 2024. The Author(s).

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Auteurs

John Reinhard (J)

Saarland University, Medical Biochemistry and Molecular Biology, Homburg, Germany.
Saarland University, Preclinical Center for Molecular Signaling (PZMS), Homburg, Germany.

Leonhard Starke (L)

Saarland University, Theoretical Physics and Center for Biophysics, Saarbrücken, Germany.

Christian Klose (C)

Lipotype GmbH, Dresden, Germany.

Per Haberkant (P)

EMBL Heidelberg, Proteomics Core Facility, Heidelberg, Germany.

Henrik Hammarén (H)

EMBL Heidelberg, Genome Biology, Heidelberg, Germany.

Frank Stein (F)

EMBL Heidelberg, Proteomics Core Facility, Heidelberg, Germany.

Ofir Klein (O)

Weizmann Institute of Science, Department of Molecular Genetics, Rehovot, Israel.

Charlotte Berhorst (C)

Saarland University, Medical Biochemistry and Molecular Biology, Homburg, Germany.
Saarland University, Preclinical Center for Molecular Signaling (PZMS), Homburg, Germany.

Heike Stumpf (H)

Saarland University, Medical Biochemistry and Molecular Biology, Homburg, Germany.
Saarland University, Preclinical Center for Molecular Signaling (PZMS), Homburg, Germany.

James P Sáenz (JP)

Technische Universität Dresden, B CUBE, Dresden, Germany.

Jochen Hub (J)

Saarland University, Theoretical Physics and Center for Biophysics, Saarbrücken, Germany.

Maya Schuldiner (M)

Weizmann Institute of Science, Department of Molecular Genetics, Rehovot, Israel.

Robert Ernst (R)

Saarland University, Medical Biochemistry and Molecular Biology, Homburg, Germany. robert.ernst@uks.eu.
Saarland University, Preclinical Center for Molecular Signaling (PZMS), Homburg, Germany. robert.ernst@uks.eu.

Classifications MeSH